document.write( "Question 1193886: Read the following hypothetical case and answer the questions below.
\n" ); document.write( "The Indiana Inc. a lead denim manufacturer in New Orleans has productions
\n" ); document.write( "sites in four different counties with production ratio at 8:5:3:4. Their key products
\n" ); document.write( "are skinny jeans (50%), straight leg jeans (35%) and jeggings (15%). Each of
\n" ); document.write( "these products come in two styles - stone washed (60%) and plain (40%). Their
\n" ); document.write( "monthly production cost is about $0.95 mn. All products in both styles are
\n" ); document.write( "produced at all the four sites, while the manufacture proportion is maintained
\n" ); document.write( "across the production sites.
\n" ); document.write( "1. The analysts at Indiana Inc intend to draw a sample for a quick analysis.
\n" ); document.write( "Propose a probability sampling technique elucidating the steps clearly.\r
\n" ); document.write( "\n" ); document.write( "2. The following table shows the sale price for each product:
\n" ); document.write( "Sales Prices Skinny Jeans Straight Leg
\n" ); document.write( "Jeans Jeggings
\n" ); document.write( "Stone Washed $210 $185 $170
\n" ); document.write( "Plain $185 $90 $110
\n" ); document.write( "3) Given that 5,000 units were produced last month what is the revenue
\n" ); document.write( "generated for each product line? Comment about the status of business at
\n" ); document.write( "Indiana Inc.\r
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\n" ); document.write( "\n" ); document.write( "4)If it is known that the product is stone washed jeans what are the chances
\n" ); document.write( "that it is skinny jeans?
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Algebra.Com's Answer #848551 by parmen(42)\"\" \"About 
You can put this solution on YOUR website!
**1. Probability Sampling Technique**\r
\n" ); document.write( "\n" ); document.write( "**Stratified Sampling**\r
\n" ); document.write( "\n" ); document.write( "* **Steps:**
\n" ); document.write( " 1. **Divide the population into strata:** In this case, the production sites in the four counties can be considered strata.
\n" ); document.write( " 2. **Determine the sample size for each stratum:** Allocate the sample size to each stratum proportionally to its size within the population. Since the production ratio is 8:5:3:4, allocate samples to each county in this proportion.
\n" ); document.write( " 3. **Randomly select units within each stratum:** Use a random number generator or a table of random numbers to select the required number of units (e.g., jeans) from each county's production.\r
\n" ); document.write( "\n" ); document.write( "**Advantages of Stratified Sampling:**\r
\n" ); document.write( "\n" ); document.write( "* Ensures representation from each production site.
\n" ); document.write( "* Improves the accuracy of the sample by reducing sampling error.
\n" ); document.write( "* Allows for analysis of differences between production sites.\r
\n" ); document.write( "\n" ); document.write( "**2. Revenue Generated for Each Product Line**\r
\n" ); document.write( "\n" ); document.write( "* **Calculate the number of units produced for each product:**
\n" ); document.write( " * Skinny Jeans: 5000 units * 50% = 2500 units
\n" ); document.write( " * Straight Leg Jeans: 5000 units * 35% = 1750 units
\n" ); document.write( " * Jeggings: 5000 units * 15% = 750 units\r
\n" ); document.write( "\n" ); document.write( "* **Calculate revenue for each product and style:**
\n" ); document.write( " * **Skinny Jeans:**
\n" ); document.write( " * Stone Washed: 2500 units * 60% * $210 = $315,000
\n" ); document.write( " * Plain: 2500 units * 40% * $185 = $185,000
\n" ); document.write( " * **Straight Leg Jeans:**
\n" ); document.write( " * Stone Washed: 1750 units * 60% * $185 = $194,250
\n" ); document.write( " * Plain: 1750 units * 40% * $90 = $63,000
\n" ); document.write( " * **Jeggings:**
\n" ); document.write( " * Stone Washed: 750 units * 60% * $170 = $76,500
\n" ); document.write( " * Plain: 750 units * 40% * $110 = $33,000\r
\n" ); document.write( "\n" ); document.write( "* **Total Revenue:** $315,000 + $185,000 + $194,250 + $63,000 + $76,500 + $33,000 = $866,750\r
\n" ); document.write( "\n" ); document.write( "**Comment on Business Status:**\r
\n" ); document.write( "\n" ); document.write( "* Based on the revenue figures, Indiana Inc. appears to be generating significant revenue.
\n" ); document.write( "* Skinny jeans and stone-washed jeans are the highest-revenue generators.
\n" ); document.write( "* Further analysis would be needed to assess profitability, market share, and competitive landscape to fully evaluate the business status.\r
\n" ); document.write( "\n" ); document.write( "**3. Probability of Skinny Jeans given Stone Washed**\r
\n" ); document.write( "\n" ); document.write( "* **Let:**
\n" ); document.write( " * A: Event that the product is Skinny Jeans
\n" ); document.write( " * B: Event that the product is Stone Washed\r
\n" ); document.write( "\n" ); document.write( "* **Given:**
\n" ); document.write( " * P(A) = Probability of Skinny Jeans = 50% = 0.5
\n" ); document.write( " * P(B) = Probability of Stone Washed = 60% = 0.6
\n" ); document.write( " * P(A and B) = Probability of Skinny Jeans and Stone Washed = 0.5 * 0.6 = 0.3\r
\n" ); document.write( "\n" ); document.write( "* **Use Bayes' Theorem:**
\n" ); document.write( " * P(A | B) = P(B | A) * P(A) / P(B)
\n" ); document.write( " * P(A | B) = (P(A and B) / P(A)) * P(A) / P(B)
\n" ); document.write( " * P(A | B) = P(A and B) / P(B)
\n" ); document.write( " * P(A | B) = 0.3 / 0.6 = 0.5\r
\n" ); document.write( "\n" ); document.write( "* **Therefore, the probability that the product is Skinny Jeans given that it is Stone Washed is 0.5 or 50%.**\r
\n" ); document.write( "\n" ); document.write( "I hope this comprehensive analysis is helpful!
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